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A simple, fast, robust job/task queue for Node.js, backed by Redis.Bee-Queue is meant to power a distributed worker pool and was built with short, real-time jobs in mind. A web server can enqueue a job, wait for a worker process to complete it, and return its results within an HTTP request. Scaling is as simple as running more workers.

evQueue is an open source job scheduler and queueing engine. It features an event-driven C++ engine and a PHP / MySQL web control interface which provides tasks monitoring and creation. It provides both simple task execution and complex task chaining (workflow) using an easy to use drag & drop web interface. Workflow description includes output linking to input, conditions, loops... Queues management provides an easy way for task parallelization and resource control.

Celery is an asynchronous task queue/job queue based on distributed message passing. It is focused on real-time operation, but supports scheduling as well. The execution units, called tasks, are executed concurrently on a single or more worker servers using multiprocessing, Eventlet, or gevent. Tasks can execute asynchronously (in the background) or synchronously (wait until ready).

At a high level, Faktory is a work server. It is the repository for background jobs within your application. Jobs have a type and a set of arguments and are placed into queues for workers to fetch and execute.You can use this server to distribute jobs to one or hundreds of machines. Jobs can be executed with any language by clients using the Faktory API to fetch a job from a queue.

A React Native at-least-once priority job queue / task queue backed by persistent Realm storage. Jobs will persist until completed, even if user closes and re-opens app. React Native Queue is easily integrated into OS background processes (services) so you can ensure the queue will continue to process until all jobs are completed even if app isn't in focus. It also plays well with Workers so your jobs can be thrown on the queue, then processed in dedicated worker threads for greatly improved processing performance. React Native Queue is designed to be a swiss army knife for task management in React Native. It abstracts away the many annoyances related to processing complex tasks, like durability, retry-on-failure, timeouts, chaining processes, and more. Just throw your jobs onto the queue and relax - they're covered.

Fireworq is a lightweight, high-performance job queue system with the following abilities. It is available from ANY programming language which can talk HTTP. It works with a single binary without external dependencies. It is built on top of RDBMS (MySQL), so that jobs won't be lost even if the job queue process dies. You can apply an ordinary replication scheme to the underlying DB for the reliability of the DB itself.

Resque is a Redis-backed Ruby library for creating background jobs, placing them on multiple queues, and processing them later. Queues are picked off in order of their priority. A job from a lower priority queue will only be picked off if there are no jobs for a higher priority queue available.

huey is a little task queue in Python. It supports multi-process, multi-thread or greenlet task execution models. It can schedule tasks to execute at a given time, or after a given delay, schedule recurring tasks, like a crontab, retry tasks that fail automatically, task result storage.

Bistro is a toolkit for making services that schedule and execute tasks. Bistro is a toolkit for making distributed computation systems. It can schedule and run distributed tasks, including data-parallel jobs. It enforces resource constraints for worker hosts and data-access bottlenecks. It supports remote worker pools, low-latency batch scheduling, dynamic shards, and a variety of other possibilities. It has command-line and web UIs.

Chronos is a replacement for cron. It is a distributed and fault-tolerant scheduler that runs on top of Apache Mesos that can be used for job orchestration. It supports custom Mesos executors as well as the default command executor. Thus by default, Chronos executes sh (on most systems bash) scripts. Chronos can be used to interact with systems such as Hadoop (incl. EMR), even if the Mesos agents on which execution happens do not have Hadoop installed. Included wrapper scripts allow transfering files and executing them on a remote machine in the background and using asynchronous callbacks to notify Chronos of job completion or failures. Chronos is also natively able to schedule jobs that run inside Docker containers.

Workq is a job scheduling server strictly focused on simplifying job processing and streamlining coordination. It can run jobs in blocking foreground or non-blocking background mode. Workq runs as a standalone TCP server and implements a simple, text based protocol. Clients interact with Workq over a TCP socket in a request/response model with text commands. Please refer to the full protocol doc for details.

Simple, efficient background processing for Ruby. Sidekiq uses threads to handle many jobs at the same time in the same process. It does not require Rails but will integrate tightly with Rails 3/4 to make background processing dead simple. Sidekiq uses multithreading so it is much more memory efficient than Resque (which forks a new process for every job).

cron4j is a scheduler for the Java platform which is very similar to the UNIX cron daemon. With cron4j you can launch, from within your Java applications, any task you need at the right time, according to some simple rules.

new queue requires only the "queue" variable to be set. You can also pass the jobs hash to it.The configuration hash passed to new NodeResque.Worker, new NodeResque.Scheduler or new NodeResque.Queue can also take a connection option.

Exq is a job processing library compatible with Resque / Sidekiq for the Elixir language.While you may reach for Sidekiq / Resque / Celery by default when writing apps in other languages, in Elixir there are some good options to consider that are already provided by the language and platform. So before adding Exq or any Redis backed queueing library to your application, make sure to get familiar with OTP and see if that is enough for your needs. Redis backed queueing libraries do add additional infrastructure complexity and also overhead due to serialization / marshalling, so make sure to evaluate whether or it is an actual need.

goworker is a Go-based background worker that runs 10 to 100,000* times faster than Ruby-based workers. goworker is compatible with Resque, so you can push your jobs with Rails and Resque, and consume them with Go in the background

RQ (Redis Queue) is a simple Python library for queueing jobs and processing them in the background with workers. It is backed by Redis and it is designed to have a low barrier to entry. It should be integrated in your web stack easily.RQ requires Redis >= 2.7.0.